LSEG and Databricks Collaborate on AI-Ready Finance Data

LSEG and Databricks have announced a strategic collaboration to make LSEG’s market-leading data available directly within Databricks through Delta Sharing. The partnership will initially feature Lipper Fund Data & Analytics and Cross Asset Analytics (including Historical Analytics).

Over time, it will expand to include a wide range of trusted datasets such as Pricing, Reference Data, Models (including Starmine), Fundamentals, Estimates, Economics, and Tick History—broadening the scope of AI-ready data accessible to customers.

With this integration, enterprises can seamlessly build and deploy AI agents that leverage both their own data and LSEG’s datasets to power real-time investment analytics, risk management, and trading workflows using Databricks Agent Bricks.

Financial services teams often struggle to keep up with fast-moving markets because they rely on outdated, batch-based data delivery that is slow, expensive, and manual—keeping them one step behind. Analysts and data scientists frequently spend more time cleaning and integrating data than building models to adapt to rapidly shifting market conditions.

With the combined strengths of Databricks and LSEG, enterprises can now unify financial data to fuel analytics, AI applications, and intelligent agents. From portfolio and risk management to forecasting and client reporting, this collaboration enables smarter decisions, faster innovation, and a sharper competitive edge.

All datasets will be easily accessible through the Databricks Marketplace via Delta Sharing—Databricks’ open-source method for securely sharing live data and AI assets across platforms.

With Agent Bricks on Databricks, financial teams can merge raw tick history or reference data with their own enterprise data to deploy production-ready agents for investment analytics, risk management, and trading workflows in just days—rather than months. These agents are designed with built-in optimization for accuracy, governance, and cost efficiency.

For instance, global banks can leverage Agent Bricks to integrate transaction and client data with market and reference datasets, enabling them to quickly uncover investment opportunities, assess portfolio risks through natural language queries, run scenario-based forecasts, detect unusual trading patterns, and automatically generate compliance reports in real time.

“Customers tell us they have an insatiable appetite for high-quality, AI-ready data to accelerate their analytics and AI workloads,”

said Stephen Orban, SVP, Product Ecosystem & Partnerships at Databricks.

“Together, LSEG and Databricks can now empower financial institutions to quickly build AI agents that use LSEG’s data to automate tasks, analyze trends and provide real-time, actionable insights. By leveraging Delta Sharing, teams can access and integrate live financial data without complex pipelines or vendor lock-in. This gives them a simple, secure way to go from raw data to smarter decisions about investments, risk and trading in just days.”

Emily Prince, Group Head of Analytics & AI, LSEG, said,

“This partnership with Databricks marks an important step in bringing LSEG’s trusted data to where customers need it most. By adding our industry-leading datasets to Databricks Marketplace, we are empowering financial institutions to unlock new levels of intelligence, efficiency, and compliance. It highlights our drive to integrate with the platforms and workflows clients use most, helping them unlock value.”